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Energies
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Advances in Multi-Agent Systems for Grid Energy Management
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Advances in Multi-Agent Systems for Grid Energy Management

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "A1: Smart Grids and Microgrids".

Deadline for manuscript submissions: closed (25 August 2023) | Viewed by 12838

Special Issue Editors

Dr. V Indra Gandhi

E-Mail Website
Guest Editor
School of Electrical Engineering, Vellore Institute of Technology, Vellore 632014, India
Interests: renewable energy; power electronics; smart grid; soft computing techniques
Special Issues, Collections and Topics in MDPI journals
Dr. Belqasem Aljafari

E-Mail Website1 Website2
Guest Editor
Department of Electrical Engineering, College of Engineering, Najran University, Najran 11001, Saudi Arabia
Interests: power and renewable energy; smart grid and energy efficiency

Special Issue Information

Dear Colleagues,

A multiagent system is an integrated system with numerous sophisticated algorithms that communicate with one another to accomplish a set of goals or perform activities. An agent is a piece of software that takes autonomous, intelligent, or pre-set actions to help the system accomplish its goals. The addition of highly intermittent and unpredictable distributed energy supplies to the energy management system adds to the system's complexity. As a result, the traditional control employed in micro-grid EMS is no longer effective, necessitating other control systems that can manage the altered system dynamics. A decentralized artificial intelligence technology called a multiagent system, adapted from computer science, can realize this function effectively due to its inherent autonomy, scalability, flexibility, and adaptability. Considering the above requirement, this Special Issue will highlight articles presenting the latest findings in the trending research area of “multiagent systems”.

Topics of interest for include, but are not limited to:

  • Energy management systems for microgrids;
  • Microgrid architecture and its significance;
  • Applications of multiagent systems in microgrids;
  • Power dispatch algorithms;
  • MAS platforms for energy management;
  • MAS design methodologies;
  • MAS architectures;
  • MAS for monitoring and diagnostics;
  • Communication and networking in MAS;
  • Intelligent and autonomous energy management;

Dr. V Indra Gandhi
Dr. Belqasem Aljafari
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Energies is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Published Papers (3 papers)

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Research

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32 pages, 6911 KiB  
Article
A Particle Swarm Optimization Technique Tuned TID Controller for Frequency and Voltage Regulation with Penetration of Electric Vehicles and Distributed Generations
by Hiramani Shukla, Srete Nikolovski, More Raju, Ankur Singh Rana and Pawan Kumar
Energies 2022, 15(21), 8225; https://doi.org/10.3390/en15218225 - 3 Nov 2022
Cited by 8 | Viewed by 1840
Abstract
An interconnected power system requires specific restrictions to be maintained for frequency, tie-line power, and the terminal voltage of synchronized generators to avoid instability. Therefore, frequency stability and voltage regulation issues are covered individually and jointly in the current research work. Initially in [...] Read more.
An interconnected power system requires specific restrictions to be maintained for frequency, tie-line power, and the terminal voltage of synchronized generators to avoid instability. Therefore, frequency stability and voltage regulation issues are covered individually and jointly in the current research work. Initially in test system 1, automatic generation control (AGC) investigations are done on two interconnected systems with thermal plants and electric vehicles in one area and distributed generation and electric vehicles in other area. The automatic voltage regulator (AVR) problem alone is chosen for investigation in test system 2. The third test system addresses the combined AGC and AVR issues. The performance of the fractional-order tilt-integral-derivative (TID) controller is compared with that of a widely used proportional integral derivative (PID) controller in all three test systems studies. The findings demonstrate better performance of the TID controller than PID in terms of providing superior dynamic metrics, such as low peak overshoots, undershoots, and settling time, as well as decreased oscillations amplitudes. Additionally, TID performs better than PID despite randomized load disturbance, system non-linearities, and time delays in AGC and the combined AGC and AVR problem. The PSO-tuned TID controller is insensitive to variation in load damping factor and time constants of the AVR system. Finally, the results are validated by an OPAL-RT 4510 real-time digital simulator. Full article
(This article belongs to the Special Issue Advances in Multi-Agent Systems for Grid Energy Management)
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19 pages, 2456 KiB  
Article
Optimized Network Reconfiguration with Integrated Generation Using Tangent Golden Flower Algorithm
by Dhivya Swaminathan and Arul Rajagopalan
Energies 2022, 15(21), 8158; https://doi.org/10.3390/en15218158 - 1 Nov 2022
Cited by 9 | Viewed by 1657
Abstract
The importance of integrating distributed generation (DG) units into the distribution network (DN) recently developed. To decrease power losses (PL), this article presents a meta-heuristic population-based tangent golden flower pollination algorithm (TGFPA) as an optimization technique for selecting the ideal site for DG. [...] Read more.
The importance of integrating distributed generation (DG) units into the distribution network (DN) recently developed. To decrease power losses (PL), this article presents a meta-heuristic population-based tangent golden flower pollination algorithm (TGFPA) as an optimization technique for selecting the ideal site for DG. Furthermore, the proposed algorithm also finds the optimal routing configuration for power flow. TGFPA requires very few tuning parameters and is comprised of a golden section and a tangent flight algorithm (TFA). Hence, it is easy to update these parameters to obtain the best values, which provide highly reliable results compared to other existing techniques. In different case studies, the TGFPA’s performance was assessed on four test bus systems: IEEE 33-bus, IEEE 69-bus, IEEE 119-bus, and Indian-52 bus. According to simulation results, TGFPA computes the optimal reconfigured DN embedded along with DG, achieving the goal of minimal power loss. Full article
(This article belongs to the Special Issue Advances in Multi-Agent Systems for Grid Energy Management)
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Review

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32 pages, 6408 KiB  
Review
A Review on Hydrogen-Based Hybrid Microgrid System: Topologies for Hydrogen Energy Storage, Integration, and Energy Management with Solar and Wind Energy
by Ahmad Alzahrani, Senthil Kumar Ramu, Gunapriya Devarajan, Indragandhi Vairavasundaram and Subramaniyaswamy Vairavasundaram
Energies 2022, 15(21), 7979; https://doi.org/10.3390/en15217979 - 27 Oct 2022
Cited by 36 | Viewed by 8728
Abstract
Hydrogen is acknowledged as a potential and appealing energy carrier for decarbonizing the sectors that contribute to global warming, such as power generation, industries, and transportation. Many people are interested in employing low-carbon sources of energy to produce hydrogen by using water electrolysis. [...] Read more.
Hydrogen is acknowledged as a potential and appealing energy carrier for decarbonizing the sectors that contribute to global warming, such as power generation, industries, and transportation. Many people are interested in employing low-carbon sources of energy to produce hydrogen by using water electrolysis. Additionally, the intermittency of renewable energy supplies, such as wind and solar, makes electricity generation less predictable, potentially leading to power network incompatibilities. Hence, hydrogen generation and storage can offer a solution by enhancing system flexibility. Hydrogen saved as compressed gas could be turned back into energy or utilized as a feedstock for manufacturing, building heating, and automobile fuel. This work identified many hydrogen production strategies, storage methods, and energy management strategies in the hybrid microgrid (HMG). This paper discusses a case study of a HMG system that uses hydrogen as one of the main energy sources together with a solar panel and wind turbine (WT). The bidirectional AC-DC converter (BAC) is designed for HMGs to maintain power and voltage balance between the DC and AC grids. This study offers a control approach based on an analysis of the BAC’s main circuit that not only accomplishes the function of bidirectional power conversion, but also facilitates smooth renewable energy integration. While implementing the hydrogen-based HMG, the developed control technique reduces the reactive power in linear and non-linear (NL) loads by 90.3% and 89.4%. Full article
(This article belongs to the Special Issue Advances in Multi-Agent Systems for Grid Energy Management)
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